Analysis of Traditional Web Security Solutions and Proposal of a Web Attacks Cognitive Patterns Classi fi er Architecture
Abstract:
The present work proposes a security architecture for web servers called Web Attacks Cognitive Patterns Classifier, which makes use of cognitive security concepts to deliver a more complete solution than existing ones. The architecture proposes the development of an integrated software solution where existing tools such as Elasticsearch, Logstash and Kibana are incorporated. The proposed system will be nurtured using data of attacks obtained from honeypots implemented in hacker communities; such data will be analyzed by using machine learning algorithms and behavioral parameters to determinate attack patterns and classifications. The present work also makes a literature review of existing web security solutions, to understand their limitations and to explain the reasons why the creation of the proposed architecture was necessary. We can say that usage of different technologies oriented to a …
Año de publicación:
2018
Keywords:
Fuente:

Tipo de documento:
Other
Estado:
Acceso abierto
Áreas de conocimiento:
- Inteligencia artificial
- Ciencias de la computación
Áreas temáticas:
- Programación informática, programas, datos, seguridad
- Problemas sociales y servicios a grupos
- Instrumentos de precisión y otros dispositivos